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https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp
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116,048 Sets – 3D Hand Pose & Gesture Recognition Dataset
3D hand pose dataset
hand keypoints dataset
hand gesture recognition
RGB-D hand dataset
hand mesh dataset
AI training hand pose
3D hand reconstruction
computer vision hand dataset
gesture recognition data
This dataset contains 116,048 sets of 3D handpose data, each set includes hand mask image(RGB, 24-bit), depth image(16-bit), camera intrinsic parameter file(TXT), 3D keypoints file(OBJ), mesh file(OBJ), gesture type file(TXT), keypoints demo image(JPG), and mesh demo image(JPG). The data is collected indoors, with the right hand (no handheld objects), covering both first-person and third-person perspectives, multiple gesture types, finger poses, hand overall rotation poses, individuals and Kinect devices used. This dataset does not include personally identifiable facial information, with hand mask images and depth images aligned. This dataset can be used for tasks such as handpose recognition, hand 3D reconstruction, and hand keypoints detection.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
![Specifications]()
Specifications
Contents
116,048 sets, each set includes hand mask image(RGB, 24-bit), depth image(16-bit), camera intrinsic parameters file(TXT), 3D keypoints file(OBJ), mesh file(OBJ), gesture type file(TXT), keypoint demo image(JPG), and mesh demo image(JPG)
Distribution
indoor, right hand (without holding objects), covering both first-person and third-person perspectives, multiple gesture types, finger poses, and hand overall rotation poses, collected from multiple individuals
Other notes
the capturing devices used is multiple Kinects, the data does not contain any sensitive personal facial information, the hand mask images and depth images are already aligned
![Sample]()
Sample
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Nexdata’s Embodied AI datasets are designed to support a wide range of robotics and embodied intelligence applications, including robot perception, manipulation, navigation, human-robot interaction, and Vision-Language-Action (VLA) model development. Depending on the dataset, data may include multimodal video, sensor data, robot trajectories, actions, poses, and other annotations for training and evaluation.
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dede320e-b6c6-4afc-ba83-f802640adc5a
Specifications
Sample
